This is how a chronicle report looks

This is a showcase of the outputs possible with the {chronicle} R package. For a complete how-to, please refer to the package’s github page.

Barplots

chronicle::add_barplot()

Simple bar plot

Bars broken by other group

Bars sorted by value

Bars sorted by value and broken by another column

Horizontally

Boxplots

chronicle::add_boxplot()

Simple box plot

Box plot by groups

Box plot with jitter

Code

chronicle::add_code()

This is an empty canvas for you to include any code you want.

This is some code:

data.table(iris)[, .N, Species]

It can also be evaluated!

library(data.table)
data.table(iris)[, .N, Species]

##       Species  N
## 1:     setosa 50
## 2: versicolor 50
## 3:  virginica 50

Densities

chronicle::add_density()

Basic density

Density by group

Faceted densities

dygraphs

chronicle::add_dygraph()

Simple dygraph (in static outputs it will be replaced by line plots)

Dygraph by groups

Histograms()

chronicle::add_histogram

Basic histogram

Faceted histogram by groups

Line plots

chronicle::add_lineplot()

Simple line plot

Line plot with trend

Line plot with linear trend

Faceted line plot

Rain cloud plots

chronicle::add_raincloud()

Simple rain cloud

Rain cloud by group

Larger denisty kernel

No boxplot, just the median

With the mean instead of the boxplot

Scatter plots

chronicle::add_scatterplot()

Simple scatter plot

Scatter plot with groups

Faceted scatter plot with trend

Tables

chronicle::add_table()

kable

DT

Violins

chronicle::add_violin()

Simple violin plot

Violin plot by group

Big Bonus! report_columns()

chronicle also includes a function called report_columns(), that will create an entire chronicle report for a single dataset. It includes a comprehensive summary of the data through the skimr::skim() function, along with one plot for each column present in the data: bar plots for categorical variables and rain cloud plots for numerical variables. This gives you an immediate view of a dataset with a single line of code!

report_columns(dt = palmerpenguins::penguins,
               by_column = 'species')

you can see the example of this output here

sessionInfo

sessionInfo()

## R version 4.0.3 (2020-10-10)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 19042)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] stringr_1.4.0     chronicle_0.2.5   data.table_1.13.6 magrittr_2.0.1    rlang_0.4.10     
## 
## loaded via a namespace (and not attached):
##  [1] tufte_0.9           lattice_0.20-41     tidyr_1.1.2         ps_1.5.0            zoo_1.8-8           digest_0.6.27      
##  [7] R6_2.5.0            evaluate_0.14       httr_1.4.2          xaringan_0.19       ggplot2_3.3.3       highr_0.8          
## [13] pillar_1.4.7        tictoc_1.0          lazyeval_0.2.2      rstudioapi_0.13     callr_3.5.1         Matrix_1.2-18      
## [19] DT_0.17             rmarkdown_2.6       labeling_0.4.2      splines_4.0.3       webshot_0.5.2       flexdashboard_0.5.2
## [25] rolldown_0.1        readr_1.4.0         htmlwidgets_1.5.3   munsell_0.5.0       tinytex_0.28        compiler_4.0.3     
## [31] xfun_0.20           pkgconfig_2.0.3     mgcv_1.8-33         htmltools_0.5.0     tidyselect_1.1.0    tibble_3.0.4       
## [37] gridExtra_2.3       bookdown_0.21       viridisLite_0.3.0   crayon_1.3.4        dplyr_1.0.2         withr_2.3.0        
## [43] grid_4.0.3          nlme_3.1-151        jsonlite_1.7.2      gtable_0.3.0        lifecycle_0.2.0     scales_1.1.1       
## [49] rmdformats_1.0.1    stringi_1.5.3       farver_2.0.3        viridis_0.5.1       dygraphs_1.1.1.6    ellipsis_0.3.1     
## [55] xts_0.12.1          generics_0.1.0      vctrs_0.3.6         tools_4.0.3         glue_1.4.2          purrr_0.3.4        
## [61] hms_0.5.3           crosstalk_1.1.0.1   prettydoc_0.4.1     processx_3.4.5      yaml_2.2.1          colorspace_2.0-0   
## [67] plotly_4.9.3        knitr_1.31          pagedown_0.13